MD
Available for Internship · Open to Collaborate
// Data Architect · ML Engineer · India 🇮🇳

MANOJ
DAS

I don't just analyze data — I decode patterns that machines can't see and humans can't explain. BTech 3rd Year · Future Data Scientist · Present Problem Solver.

↗ LinkedIn ↗ @TechMaverick
Data Analytics Machine Learning Data Engineering Deep Learning Data Science Python SQL TensorFlow BTech 3rd Year India Data Analytics Machine Learning Data Engineering Deep Learning Data Science Python SQL TensorFlow BTech 3rd Year India
// 001 · Identity

Who is
Manoj Das?

~/manoj-das/profile.py — python3
# The file that defines a data maverick
 
class ManojDas:
  name = "Manoj Das"
  degree = "B.Tech · 3rd Year"
  location = "India 🇮🇳"
 
  superpower = [
    "Turning chaos → clarity with data",
    "Building ML models that actually work",
    "Engineering pipelines from raw → refined",
    "Visualizing stories hidden in numbers"
  ]
 
  philosophy = (
    "Data is not a destination — it's a language."
    "I've been learning to speak it fluently."
  )
 
>>> ManojDas()
// 002 · Arsenal

Skills &
Tech Stack

Python
Core language · Scripting · Automation
90%
Pandas · NumPy
Data manipulation & numerical computing
88%
Scikit-Learn
Classical ML · Pipelines · Evaluation
82%
TensorFlow · Keras
Deep learning · CNN · Transfer learning
74%
SQL · MySQL
Queries · Joins · Data modeling
80%
Matplotlib · Seaborn
Data visualization · Storytelling
85%
ARIMA · Time Series
Forecasting · Seasonal decomposition
72%
Power BI · Tableau
Dashboards · Business intelligence
70%
// 003 · Works

Projects That
Speak Data

01
📦
Time Series · Forecasting
Inventory Forecasting System
Predictive engine to forecast demand using ARIMA and ensemble regression. Reduced overstock errors and automated seasonal pattern detection across SKUs.
Python ARIMA Pandas Scikit-Learn
02
🎓
EDA · Classification · ML Pipeline
Student Performance Analysis
Full ML pipeline decoding academic outcomes from behavioral and demographic data. Feature engineering exposed the top 5 hidden predictors. 87%+ accuracy achieved.
Python Regression Seaborn EDA
03
🐾
Deep Learning · Computer Vision
Animal Classifier
CNN + Transfer Learning model classifying animals from images. Custom data augmentation pipeline and fine-tuned architecture pushed validation accuracy to 90%+.
TensorFlow CNN OpenCV Keras
// 004 · Journey

2025
Roadmap

Q1
Python · SQL · EDA Mastery
Foundation locked in. Data wrangling, querying, and exploratory analysis as second nature.
Q2
ML Algorithms · Model Evaluation
Classical ML complete. Regression, classification, clustering, cross-validation — all hands-on.
Q3
Data Engineering · Pipelines
Airflow, ETL workflows, data lakes. Building infrastructure that makes data actually usable.
Q4
MLOps · Cloud Deployment
AWS / GCP, model serving, monitoring in production. The final frontier before full-stack DS.
// 005 · Connect

Let's Build
Something

💼
LinkedIn
Manoj Das
📸
Instagram
@manojdas_techmaverick
🐙
GitHub
Your Username
✉️
Email
Say Hello